In this survey, univariate global optimization problems are
considered where the objective function or its first derivative
can be multiextremal black-box costly functions satisfying the
Lipschitz condition over an interval. Such problems are frequently
encountered in practice. A number of geometric methods based on
constructing auxiliary functions with the usage of different
estimates of the Lipschitz constants are described in the paper.